Skip to main content
USGS - science for a changing world

Data release for journal article titled, "Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model"

Dates

Publication Date
Time Period
2016-07-17

Citation

Byrd, K.B., 2016, Data release for journal article titled, "Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model": U.S. Geological Survey data release, https://dx.doi.org/10.5066/F76M34Z1.

Summary

Reducing uncertainty in data inputs at relevant spatial scales can improve tidal marsh forecasting models, and their usefulness in coastal climate change adaptation decisions. The Marsh Equilibrium Model (MEM), a one-dimensional mechanistic elevation model, incorporates feedbacks of organic and inorganic inputs to project elevations under sea-level rise (SLR) scenarios. We tested the feasibility of deriving two key MEM inputs – average annual suspended sediment concentration (SSC) and aboveground peak biomass – from remote sensing data in order to apply MEM across a broader geographic region. We analyzed the precision and representativeness (spatial distribution) of these remote sensing inputs to improve understanding of our study [...]

Contacts

Point of Contact :
Kristin B Byrd
Originator :
Kristin B Byrd
Metadata Contact :
Kristin B Byrd
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Land Resources
SDC Data Owner :
Western Geographic Science Center

Attached Files

Click on title to download individual files attached to this item.

Field_RS_MEM_Compare_Final.csv 17.53 KB
RMSE_RS_MEM_Compare_Final.csv 47.04 KB
MEMRSCompare_FGDC_final.xml
Original FGDC Metadata

View
41.86 KB

Purpose

Table 1. shows difference in Marsh Equilibrium Model (MEM) elevation projections derived from field measured inputs and Landsat 8-based inputs by year and starting elevation (centimeters NAVD88). Table 2. shows difference in Marsh Equilibrium Model (MEM) elevation projections derived from two model runs: one using remote sensing estimates of peak biomass and/or suspended sediment concentration, plus or minus model RMSE, and one using the remote sensing estimates of these two variables. Model outpus are provided by year and starting elevation (centimeters NAVD88). Model outputs serve to test the feasibility of running MEM with remote sensing data, and to understand the sensitivity of MEM to variations in two key input values, suspended sediment concentrations and peak biomass.

Communities

  • USGS Data Release Products

Tags

Categories
Theme
Place
Harvest Set

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F76M34Z1

Item Actions

View Item as ...

Save Item as ...

View Item...